Contribution of time delays to p53 oscillation in DNA damage response

Wang, Conghua; Liu, Haihong; Zhou, Jin

doi:10.1049/iet-syb.2019.0006

Cited by 1 publication

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, a common extension when investigating the role of delays is to consider the extended model given in Figure 6 b. It has been shown that the delays in both negative feedback loops are important components to derive oscillatory behaviour [ 83 , 84 ]. One difficulty though is that in order to make analysis of the models tractable it has, so far, required that both delays are assumed to be equal, which may or may not be the case in the real biological system.…”

Section: Mathematical Modelling Of P53mentioning

confidence: 99%

Mathematical Modelling of p53 Signalling during DNA Damage Response: A Survey

Elias

Macnamara

2021

IJMS

View full text Add to dashboard Cite

No gene has garnered more interest than p53 since its discovery over 40 years ago. In the last two decades, thanks to seminal work from Uri Alon and Ghalit Lahav, p53 has defined a truly synergistic topic in the field of mathematical biology, with a rich body of research connecting mathematic endeavour with experimental design and data. In this review we survey and distill the extensive literature of mathematical models of p53. Specifically, we focus on models which seek to reproduce the oscillatory dynamics of p53 in response to DNA damage. We review the standard modelling approaches used in the field categorising them into three types: time delay models, spatial models and coupled negative-positive feedback models, providing sample model equations and simulation results which show clear oscillatory dynamics. We discuss the interplay between mathematics and biology and show how one informs the other; the deep connections between the two disciplines has helped to develop our understanding of this complex gene and paint a picture of its dynamical response. Although yet more is to be elucidated, we offer the current state-of-the-art understanding of p53 response to DNA damage.

show abstract

Section: Mathematical Modelling Of P53mentioning

confidence: 99%